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I.D. Bianco,S.F. Ausar,M. Morcillo,A.E. Leon,P.D. Ribotta,R. Masih,M. Vilaro Mainero,J.L. Amigone,G. Rubin,C. Lescano,L.F. Castagna,D.M. BeltramoG. Diaz 한국식품영양과학회 2003 Journal of medicinal food Vol.6 No.4
In this work we evaluated the efficacy and safety of a bread formulation containing chitosan in dyslipidemictype 2 diabetic subjects. For this purpose a total of 18 patients were allowed to incorporate to their habitual diets 120 g/dayof bread containg 2% (wt/wt) chitosan (chitosan group, n 5 9) or standard bread (control group, n 5 9). Before the studyand after 12 weeks on the modified diet, the following parameters were evaluated: body weight, plasma cholesterol, high-den-sity lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, triglyceride, and hemoglobin A 1c(HbA1c). Com-pared with the control group, the patients receiving chitosan-containg bread decreased their mean levels of LDL-cholesteroland significantly increased their mean levels of HDL-cholesterol at the end of the study. There were no significant differencesin the body weight, serum triglyceride, and HbA 1c. These results suggest that chitosan incorporated into bread formulationscould improve the lipoprotein balance similar to typical biliary salts trappers, increasing the HDL- and lowering the LDL-cholesterol, without changing the triglyceride levels. These results warrant further studies over a longer period of time to eval-uate if a persistent improvement in levels of lipoproteins can be attained with this strategy.
The Discovery of a Gravitationally Lensed Supernova Ia at Redshift 2.22
Rubin, D.,Hayden, B.,Huang, X.,Aldering, G.,Amanullah, R.,Barbary, K.,Boone, K.,Brodwin, M.,Deustua, S. E.,Dixon, S.,Eisenhardt, P.,Fruchter, A. S.,Gonzalez, A. H.,Goobar, A.,Gupta, R. R.,Hook, I.,Jee American Astronomical Society 2018 The Astrophysical journal Vol.866 No.1
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming
Joong-Ho Won,Yongkweon Jeon,Rosenberg, J. K.,Sungroh Yoon,Rubin, G. D.,Napel, S. IEEE 2013 IEEE transactions on visualization and computer gr Vol.19 No.1
<P>Direct projection of 3D branching structures, such as networks of cables, blood vessels, or neurons onto a 2D image creates the illusion of intersecting structural parts and creates challenges for understanding and communication. We present a method for visualizing such structures, and demonstrate its utility in visualizing the abdominal aorta and its branches, whose tomographic images might be obtained by computed tomography or magnetic resonance angiography, in a single 2D stylistic image, without overlaps among branches. The visualization method, termed uncluttered single-image visualization (USIV), involves optimization of geometry. This paper proposes a novel optimization technique that utilizes an interesting connection of the optimization problem regarding USIV to the protein structure prediction problem. Adopting the integer linear programming-based formulation for the protein structure prediction problem, we tested the proposed technique using 30 visualizations produced from five patient scans with representative anatomical variants in the abdominal aortic vessel tree. The novel technique can exploit commodity-level parallelism, enabling use of general-purpose graphics processing unit (GPGPU) technology that yields a significant speedup. Comparison of the results with the other optimization technique previously reported elsewhere suggests that, in most aspects, the quality of the visualization is comparable to that of the previous one, with a significant gain in the computation time of the algorithm.</P>